• HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
Saturday, February 7, 2026
BIOENGINEER.ORG
No Result
View All Result
  • Login
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
  • HOME
  • NEWS
  • EXPLORE
    • CAREER
      • Companies
      • Jobs
        • Lecturer
        • PhD Studentship
        • Postdoc
        • Research Assistant
    • EVENTS
    • iGEM
      • News
      • Team
    • PHOTOS
    • VIDEO
    • WIKI
  • BLOG
  • COMMUNITY
    • FACEBOOK
    • INSTAGRAM
    • TWITTER
No Result
View All Result
Bioengineer.org
No Result
View All Result
Home NEWS Science News Cancer

Graphene biosensor could provide early lung cancer diagnosis, research shows

Bioengineer by Bioengineer
February 4, 2019
in Cancer
Reading Time: 2 mins read
0
Share on FacebookShare on TwitterShare on LinkedinShare on RedditShare on Telegram

The wonder-material graphene could hold the key to unlocking the next generation of advanced, early stage lung cancer diagnosis.

A team of scientists from the University of Exeter has developed a new technique that could create a highly sensitive graphene biosensor with the capability to detect molecules of the most common lung cancer biomarkers.

The new biosensor design could revolutionise existing electronic nose (e-nose) devices, that identify specific components of a specific vapour mixture – for example a person’s breath – and analyses its chemical make-up to identify the cause.

The research team believe the newly developed device displays the potential to identify specific lung cancer markers at the earliest possible stage, in a convenient and reusable way – making it both cost-effective and highly beneficial for health service providers worldwide.

The research is published in the Royal Society of Chemistry’s peer-reviewed journal Nanoscale.

Ben Hogan, a postgraduate researcher from the University of Exeter and co-author of the paper explained: “The new biosensors which we have developed show that graphene has significant potential for use as an electrode in e-nose devices. For the first time, we have shown that with suitable patterning graphene can be used as a specific, selective and sensitive detector for biomarkers.

“We believe that with further development of our devices, a cheap, reusable and accurate breath test for early-stage detection of lung cancer can become a reality.

The quest to discover viable new techniques to accurately detect early-stage lung cancer is one of the greatest global health care challenges.

Although it is one of the most common and aggressive cancers, killing around 1.4 million people worldwide each year, the lack of clinical symptoms in its early stages means many patients are not diagnosed until the latter stage, which makes it difficult to cure.

Due to the unrestrainable nature of the abnormal cancer cells, while they begin in one or both lungs, they are prone to spread to other parts of the body rapidly.

There are currently no cheap, simple, or widely available screening methods for early diagnosis of lung cancer. However, for the new research, the team from Exeter looked at whether graphene could form the basis for a new, enhanced biosensor device.

Using multi-layered graphene, the team suggest that current e-nose devices – which combine electronic sensors with mechanisms for pattern recognition, such as a neural network – could revolutionise breath diagnostic techniques.

Using patterned multi-layered graphene electrodes, the team were able to show greater sensing capabilities for three of the most common lung-cancer biomarkers – ethanol, isopropanol and acetone – across a range of different concentrations.

The team believe this could be the first step towards creating new, improved and cheaper e-nose devices that could give the earliest possible lung-cancer diagnosis.

Multi-layer graphene as a selective detector for future lung cancer biosensing platforms is published in the journal Nanoscale.

###

Media Contact
Duncan Sandes
[email protected]
44-013-927-22391
http://dx.doi.org/10.1039/C8NR08405J

Tags: cancerChemistry/Physics/Materials SciencesDiagnosticsHealth Care Systems/ServicesMaterialsMedicine/HealthResearch/DevelopmentTechnology/Engineering/Computer Science
Share12Tweet8Share2ShareShareShare2

Related Posts

Deep Learning Uncovers Tetrahydrocarbazoles as Potent Broad-Spectrum Antitumor Agents with Click-Activated Targeted Cancer Therapy Approach

February 7, 2026

Newly Discovered Limonoid DHL-11 from Munronia henryi Targets IMPDH2 to Combat Triple-Negative Breast Cancer

February 7, 2026

New Discovery Reveals Why Ovarian Cancer Spreads Rapidly in the Abdomen

February 6, 2026

New Study Finds Americans Favor In-Clinic Screening Over At-Home Tests for Cervical Cancer

February 6, 2026
Please login to join discussion

POPULAR NEWS

  • Robotic Ureteral Reconstruction: A Novel Approach

    Robotic Ureteral Reconstruction: A Novel Approach

    82 shares
    Share 33 Tweet 21
  • Digital Privacy: Health Data Control in Incarceration

    63 shares
    Share 25 Tweet 16
  • Study Reveals Lipid Accumulation in ME/CFS Cells

    57 shares
    Share 23 Tweet 14
  • Breakthrough in RNA Research Accelerates Medical Innovations Timeline

    53 shares
    Share 21 Tweet 13

About

We bring you the latest biotechnology news from best research centers and universities around the world. Check our website.

Follow us

Recent News

Evaluating Pediatric Emergency Care Quality in Ethiopia

TPMT Expression Predictions Linked to Azathioprine Side Effects

Improving Dementia Care with Enhanced Activity Kits

Subscribe to Blog via Email

Enter your email address to subscribe to this blog and receive notifications of new posts by email.

Join 73 other subscribers
  • Contact Us

Bioengineer.org © Copyright 2023 All Rights Reserved.

Welcome Back!

Login to your account below

Forgotten Password?

Retrieve your password

Please enter your username or email address to reset your password.

Log In
No Result
View All Result
  • Homepages
    • Home Page 1
    • Home Page 2
  • News
  • National
  • Business
  • Health
  • Lifestyle
  • Science

Bioengineer.org © Copyright 2023 All Rights Reserved.